Programmable Molecular Signal Transmission Architecture and Reactant Regeneration Strategy Driven by EXO λ for DNA Circuits.

DNA circuits DNA computing DNA strand displacement EXO λ hydrolysis characteristic

Journal

ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075

Informations de publication

Date de publication:
21 07 2023
Historique:
medline: 23 10 2023
pubmed: 5 7 2023
entrez: 5 7 2023
Statut: ppublish

Résumé

The characteristics of DNA hybridization enable molecular computing through strand displacement reactions, facilitating the construction of complex DNA circuits, which is an important way to realize information interaction and processing at a molecular level. However, signal attenuation in the cascade and shunt process hinders the reliability of the calculation results and further expansion of the DNA circuit scale. Here, we demonstrate a novel programmable exonuclease-assisted signal transmission architecture, where DNA strand with toehold employed to inhibit the hydrolysis process of EXO λ is applied in DNA circuits. We construct a series circuit with variable resistance and a parallel circuit with constant current source, ensuring excellent orthogonal properties between input and output sequences while maintaining low leakage (<5%) during the reaction. Additionally, a simple and flexible exonuclease-driven reactant regeneration (EDRR) strategy is proposed and applied to construct parallel circuits with constant voltage sources that could amplify the output signal without extra DNA fuel strands or energy. Furthermore, we demonstrate the effectiveness of the EDRR strategy in reducing signal attenuation during cascade and shunt processes by constructing a four-node DNA circuit. These findings offer a new approach to enhance the reliability of molecular computing systems and expand the scale of DNA circuits in the future.

Identifiants

pubmed: 37405388
doi: 10.1021/acssynbio.3c00168
doi:

Substances chimiques

DNA 9007-49-2
Exonucleases EC 3.1.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2107-2117

Auteurs

Xun Zhang (X)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Xin Liu (X)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Yao Yao (Y)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Yuan Liu (Y)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Chenyi Zeng (C)

Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Dalian 116622, China.

Qiang Zhang (Q)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

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